86 search results - page 6 / 18 » Visualizing Bagged Decision Trees |
ILP
2004
Springer
14 years 3 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
FOIKS
2010
Springer
14 years 4 months ago
2010
Springer
A. Falappa, an Abstract Dialogue Framework Guillermo R. Simari Regular Helena Kein¨anen An Algorithm for Generating Nash Stable Coalition Structures in Hedonic Games 15:30-16:00 A...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
VLDB
2004
ACM
14 years 3 months ago
2004
ACM
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
JAIR
2008
13 years 9 months ago
2008
In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of the spectrum. That ...